Marketing Engineer, AI Visibility

Tallwave • Phoenix, AZ

1d • Remote

About The Position

Tallwave is seeking a Marketing Engineer to be a key technical contributor to their AI Visibility service. This role focuses on ensuring clients appear prominently when users query AI models like ChatGPT, Gemini, and Google AI Mode for purchasing decisions or vendor shortlisting. The responsibilities include measuring baseline visibility, diagnosing reasons for brand absence, implementing fixes within client organizations, and attributing improvements to Tallwave's efforts. The position operates at the intersection of marketing, technical SEO, data, automation, and AI, requiring strong technical fundamentals, a builder mentality, and the drive to rapidly develop expertise in this emerging field. The role involves operating, verifying, troubleshooting, and improving automated scanning and scoring machines, with an emphasis on automating repetitive processes. While reporting to the Head of Delivery, the Marketing Engineer will collaborate with strategy, product design, and marketing practitioners. A significant aspect of the role involves establishing the validity of the AI Visibility service and process in the market. As the role evolves, the individual will take on increasing ownership of AI Visibility tooling, automation, measurement methodology, and service capabilities, with a strong focus on delivering exceptionally.

Requirements

• 3–5 years of experience in technical SEO, marketing engineering, growth engineering, marketing analytics, web development, or a related discipline.
• Demonstrated experience using AI/LLMs in marketing, search, analytics, automation, development, or another practical business application.
• Direct AI Visibility/GEO experience is strongly preferred but not required.
• Working Python and SQL, and the habit of automating anything you do twice.
• Strong technical SEO and web fundamentals, including familiarity with how websites are crawled, rendered, indexed, and retrieved.
• Experience working with APIs and automating workflows.
• Deep familiarity with structured data, entity optimization, and how retrieval-augmented systems select and cite sources.
• Experience getting technical changes shipped through an enterprise engineering queue, legal review, and brand review.
• Comfort making a causal argument about performance to an audience that would prefer the platform-reported number.
• Clear writing, at the level of a pillar page or a technical specification an engineer can follow without a meeting.
• Experience presenting your own findings to clients or senior stakeholders.
• Strong problem-solving skills and the ability to investigate unfamiliar technical problems independently.
• A demonstrated curiosity about how AI systems work and a willingness to learn quickly as the technology and platforms evolve.
• Legally authorized to work in the United States and currently living in the United States.
• Not requiring any kind of visa sponsorship.

Nice To Haves

• Experience with Profound, Peec, Scrunch, or similar AI visibility platforms.
• Experience with Adobe Experience Manager, Sitecore, or Salesforce Commerce Cloud.
• Agency or consulting background with multiple concurrent clients.
• Experience with Git/GitHub, software development workflows, testing, or CI/CD.
• Experience working with LLM APIs, agents, RAG systems, embeddings, structured outputs, or evaluation frameworks.
• Experience with data pipelines, dashboards, or marketing technology integrations.

Responsibilities

• Build and run a repeatable AI visibility measurement instrument per client, including prompt sets organized by intent, five-signal scoring (presence, selection, response quality, citations, sentiment), repeated sampling, and a frozen denominator.
• Use analysis to guide client's broader marketing strategy, influencing positioning, content priorities, or product and experience decisions based on visibility findings.
• Identify opportunities to automate recurring client and delivery needs, and build or contribute to new agent workflows and service extensions.
• Automate prompt execution and scoring across ChatGPT, Gemini, Perplexity, Claude, and Google AI Mode using platform APIs and Playwright, with an LLM-as-judge pipeline calibrated against hand-scored samples.
• Audit crawler access for training bots (GPTBot, ClaudeBot, Google-Extended, CCBot) and retrieval bots (OAI-SearchBot, ChatGPT-User, Claude-User, PerplexityBot) across robots.txt, WAF and CDN rules, and server logs.
• Diagnose rendering, redirect, canonical, and JavaScript issues that retrieval crawlers do not tolerate, using Screaming Frog, curl, and headless Chrome.
• Design and implement the entity layer, including JSON-LD for Organization, Product, and related types with stable identifiers, sameAs links to Wikidata and other authoritative sources, and consistent product data across owned and retailer pages.
• Own or contribute to the content strategy for AI visibility, identifying coverage gaps at the passage level against the prompt set, deciding on content strategy (rewrite, build, or earn elsewhere), and writing or briefing content.
• Implement real changes, not just recommendations, by shipping directly in client CMS and tag management where access is available, and writing engineering-ready tickets with acceptance criteria where access is not.
• Lead and influence client marketing, web, and engineering teams to implement necessary changes, navigating legal and brand review processes.
• Measure impact honestly using a control prompt set, log-side crawler activity, and GA4 AI referral channel groups, and clearly communicate findings, even when evidence does not support a claim.
• Build, monitor, and version-control the pipeline in Python with Claude Code or the Claude Agent SDK, incorporating drift detection and Slack alerting.
• Present your own work to clients.
• Design and run experiments to test hypotheses about improving AI visibility, document results, and continuously improve Tallwave’s methodology.
• Document repeatable processes, workflows, and technical learnings to enable application across clients.

Benefits

• Comprehensive Medical, Dental, Vision, Life, and 401(k) plans.
• Employer-paid short-term disability, long-term disability plans and life insurance.
• Remote work and office hours flexibility as needed.
• Generous PTO policy.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed